BIM-Based Decision Support System for the Mangement of Large Building Stocks

Abstract

While on the one hand the BIM methodology is an essential reference for the construction of new buildings, on the other hand it is receiving particular attention and interest also from owners of large building stocks who want to take advantage of the benefits of Building Information Modelling so as to have a coordinated system for the sharing of information and data. This, especially in a process that concerns the management and maintenance of a large building stocks, involves the processing of uncertain information in BIM, particularly when dealing with existing buildings, due to the lack of and/or incomplete documentation, entailing a significant investment in terms of time and additional costs. Therefore, to represent the reliability of existing building data, we suggest introducing a tool based on Bayesian Network that offers a valid decision support under conditions of uncertainty and is used to evaluate the compliance with the latest standard. This paper presents a process to provide an integrated database defined by a minimum information level that can be used both to extrapolate and query specific information from a digital building model and populate the decision model in order to evaluate the performance parameters of existing buildings which is based on a Multicriteria decision making approach (AHP).

A Methodology for a Performance Information Model to Support Facility Management

“…For example, BIM can support proactive maintenance through gathering information about materials, environmental, and condition data so that a BIM-based life cycle management system can be developed [32]. The prioritization of refurbishment actions can be improved too, developing a decision support model based on accessibility, energy efficiency and acoustic performance information [40]. Three-dimensional data visualization allows analysis to optimize future interventions planning [8,13,23,30,31].…”

“…Finally, the integration of operational conditions and performances in BIM models is a lesser-known topic, even if it can facilitate the decision making for facility planning and assessment. For this purpose, a specific set of information for a complete BIM-aided performance assessment must be defined [40], a wide variety of data and a wide range of users must be involved in BIM processes [29], and BIM-FM links must be based on open standards [32].…”

“…According to the Table 1, BIM is mostly appreciated for gathering (i.e., to capture, monitor, qualify), communicating (i.e., to visualize), and analyzing (i.e., to coordinate, validate, forecast) data and information. In few cases [28,29] the BIM model is integrated with a benchmarking system to report current performances, while it commonly contains maintenance activities records [13,30,31], asset characteristics and specification [13,[32][33][34][35][36][37][38][39][40][41][42], and space management information [29,34,36].…”

Pushing Digital Automation of Configure-to-Order Services in Small and Medium Enterprises of the Construction Equipment Industry: A Design Science Research Approach

“…A question that arises in this context is for example which technological solution to decide for when several solutions are possible. Practical examples for this problem are given in terms of comparison of conventional and modular construction [28], and assessment of building stocks [29]. In addition to that, Kim et al [30] presented a decision support system for the automatic generation of scaffolding plans in different scenarios, which are evaluated according to safety, cost, and installation durations based on BIM information as input.…”

A Decision Support System for Multi-Criteria Assessment of Large Building Stocks

“…In the application presented in this paper, the hierarchy is defined as the first step: the top level is "stock value", the second level is composed of all the areas of interest such as accessibility, energy efficiency, acoustics; the third level is made up of the outputs from the BN "Level of Compliance" (LoC) node for Accessibility, "EPI" and "Heat Transfer Coefficient" nodes for Energy Efficiency and "Level of Compliance" (LoC) and "Compliance of acoustic requirements", as reported in Section 4. The second step consists in the pairwise comparison between the values obtained from the BN and the weights determined by means of the pairwise comparison (Corneli, Meschini, Villa, Di Giuda, & Carbonari, 2017).…”